At present, parallel signal processing tasks is applied more and more widely. Traditional way of development of parallel signal processing tasks is custom development. This development way needs manual programming, the development cycle is long, and the platform portability is poor. The parallel signal processing software discussed in this paper will make revolutionary change in the way of development of parallel signal processing tasks. The goal of parallel signal processing tasks is to achieve fully graphical and modularized development under an integrated development software environment. The software can automatically generate codes. Besides, the software provides the function of predicting and evaluating the performance. Furthermore, t...
Recent advances in very large scale integration (VLSI) have contributed to the current digital signa...
Recently, networked and cluster computation have become very popular for both signal processing and ...
Prior to about 1980, real-time signal processing development work was dominated by hardware design t...
At present, parallel signal processing tasks is applied more and more widely. Traditional way of dev...
Adaptive signal processing is widely used in many applications. However there is a continuous need f...
As parallel signal processing tasks are more and more widely used, a universal, efficient and flexib...
This paper highlights the collaboration between industry and academia in research. It describes more...
Abstract. The paper deals with various parallel platforms used for high performance computing in the...
Research Focus To be able to handle the rapidly increasing programming complexity of multicore proce...
Signal processing often requires a great deal of raw computing power for which it is important to ta...
The state of the art for signal processor hardware has far out-paced the development tools for placi...
This paper addresses both the efficiency and the portability of a computer program in charge of the ...
After the performance improvement rate in single-core processors decreased in 2000s, most CPU manufa...
Multidimensional signal processing applications have a great deal of inherent parallelism. Two examp...
Approved for public release; distribution unlimited Acknowledgments I would like to thank those who ...
Recent advances in very large scale integration (VLSI) have contributed to the current digital signa...
Recently, networked and cluster computation have become very popular for both signal processing and ...
Prior to about 1980, real-time signal processing development work was dominated by hardware design t...
At present, parallel signal processing tasks is applied more and more widely. Traditional way of dev...
Adaptive signal processing is widely used in many applications. However there is a continuous need f...
As parallel signal processing tasks are more and more widely used, a universal, efficient and flexib...
This paper highlights the collaboration between industry and academia in research. It describes more...
Abstract. The paper deals with various parallel platforms used for high performance computing in the...
Research Focus To be able to handle the rapidly increasing programming complexity of multicore proce...
Signal processing often requires a great deal of raw computing power for which it is important to ta...
The state of the art for signal processor hardware has far out-paced the development tools for placi...
This paper addresses both the efficiency and the portability of a computer program in charge of the ...
After the performance improvement rate in single-core processors decreased in 2000s, most CPU manufa...
Multidimensional signal processing applications have a great deal of inherent parallelism. Two examp...
Approved for public release; distribution unlimited Acknowledgments I would like to thank those who ...
Recent advances in very large scale integration (VLSI) have contributed to the current digital signa...
Recently, networked and cluster computation have become very popular for both signal processing and ...
Prior to about 1980, real-time signal processing development work was dominated by hardware design t...